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Measures reducing travel by public transport during peak hours
Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering. K2, Sweden's National Knowledge centre for research and education on public transport, Lund, Sweden.ORCID iD: 0000-0002-6548-0098
Lund University, Technology and Society, Lund, Sweden; K2, Sweden's National Knowledge centre for research and education on public transport, Lund, Sweden.
Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering. K2, Sweden's National Knowledge centre for research and education on public transport, Lund, Sweden; Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.ORCID iD: 0000-0003-0569-8068
2023 (English)In: 2022 Conference Proceedings Transport Research Arena, Elsevier, 2023, Vol. 72, p. 3609-3616Conference paper, Published paper (Other academic)
Abstract [en]

Generally, the cost of public transport has increased. Previous research has identified peak hour traffic as the main cost driver, mostly because the travel demand increases the number of vehicles and drivers needed. The purpose of this study is to identify measures aiming to reduce travel with public transport during peak hours, conducted through a semi-systematic literature review. The measures found were fare price differentiation, rewards, information regarding vehicle crowding, staggered school hours, flexible working hours, and working remotely. No studies of soft measures (e.g., campaigns and travel advice) for transport demand management were found. The results indicate that commuters with flexible working hours might have limiting factors that affect their ability to change departure time, for example, activities in connection to work and family responsibilities.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 72, p. 3609-3616
National Category
Other Civil Engineering
Identifiers
URN: urn:nbn:se:liu:diva-200353DOI: 10.1016/j.trpro.2023.11.561Scopus ID: 2-s2.0-85182939764OAI: oai:DiVA.org:liu-200353DiVA, id: diva2:1830541
Conference
TRA Lisbon 2022, Lisboa, 14-17 November, 2022
Funder
Swedish Energy AgencyAvailable from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-31Bibliographically approved

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Eriksson, Eva-LenaLidestam, Helene

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CiteExportLink to record
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  • apa
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Output format
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